Hardware-Software Codesign of Accurate, Multiplier-free Deep Neural Networks-Reference-Cited by-同舟云学术

Hardware-Software Codesign of Accurate, Multiplier-free Deep Neural Networks

Published:2017-06-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 54th Annual Design Automation Conference 2017
language:
Short-container-title:

Author:

Tann Hokchhay¹,Hashemi Soheil¹,Bahar R. Iris¹,Reda Sherief¹

Affiliation:

1. School of Engineering, Brown University, Providence RI

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3061639.3062259

Reference21 articles.

1. Model compression

2. DianNao

3. M. Courbariaux Y. Bengio and J.-P. David. Low precision arithmetic for deep learning. arXiv preprint arXiv:1412.7024 2014. M. Courbariaux Y. Bengio and J.-P. David. Low precision arithmetic for deep learning. arXiv preprint arXiv:1412.7024 2014.

4. M. Courbariaux I. Hubara D. Soudry R. El-Yaniv and Y. Bengio. Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1. ArXiv preprint arXiv:1602.02830 Feb. 2016. M. Courbariaux I. Hubara D. Soudry R. El-Yaniv and Y. Bengio. Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1. ArXiv preprint arXiv:1602.02830 Feb. 2016.

Cited by 44 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Swordfish: A Framework for Evaluating Deep Neural Network-based Basecalling using Computation-In-Memory with Non-Ideal Memristors;56th Annual IEEE/ACM International Symposium on Microarchitecture;2023-10-28

2. Arithmetic for Deep Learning;Application-Specific Arithmetic;2023-08-23

3. Energy-Efficient Hardware Implementation of Fully Connected Artificial Neural Networks Using Approximate Arithmetic Blocks;Circuits, Systems, and Signal Processing;2023-04-24

4. Training generalizable quantized deep neural nets;Expert Systems with Applications;2023-03

5. Optimization-Based Post-Training Quantization With Bit-Split and Stitching;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-02-01